Senior Data Scientist | Python, SQL, Machine...
Role details
Job location
Tech stack
Job description
-
Develop machine learning, forecasting, and predictive analytics solutions that support business and operational decision-making.
-
Build scenario-planning and "what-if" models to evaluate resource capacity, project execution, costs, and business forecasts.
-
Analyze and integrate data from multiple enterprise platforms, including ERP, CRM, business intelligence, financial, and project management systems.
-
Collaborate with business leaders, engineers, and data teams to translate complex business challenges into data-driven solutions.
-
Create executive reporting, dashboards, and AI-powered analytical tools that provide actionable insights and improve operational performance.
What's Needed?
Requirements
Our client, a global leader in energy technology and industrial engineering solutions, is seeking a Senior Data Scientist to join their team. As a Senior Data Scientist, you will be part of the Data & Analytics organization supporting Engineering, Operations, Program Management, and Business Strategy teams. The ideal candidate will have strong analytical thinking, excellent stakeholder communication skills, and a collaborative, solution-oriented mindset that will align successfully within the organization., + Strong experience using Python for data analysis, statistical modeling, and machine learning (Pandas, NumPy, Scikit-Learn, SciPy).
-
Advanced SQL skills with experience querying, transforming, and analyzing large enterprise datasets.
-
Experience developing predictive models, forecasting solutions, and data-driven business insights.
-
Background working with enterprise systems such as SAP, Salesforce, Databricks, ERP, CRM, or similar platforms.
-
Ability to communicate technical findings effectively to both technical and non-technical stakeholders while collaborating across cross-functional teams., + Hands-on experience with emerging technologies, including predictive analytics, forecasting models, and AI-driven decision support tools.
Benefits & conditions
- Competitive compensation and the chance to contribute to high-impact projects within a technology-driven organization.